Canada's AI Strategy Solved the Wrong Problem

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Издатель Jun 6, 2026

On June 4, 2026, Prime Minister Mark Carney unveiled Canada's national AI strategy: more than $2 billion in federal investment, a target of 250,000 new jobs by 2031, and a stated goal of closing the "AI adoption gap."

The strategy targets the wrong problem.

Independent research consistently finds that 70–80% of enterprise AI projects fail. Almost none of those failures are adoption failures. The companies adopted AI just fine. They failed at execution — ownership gaps, sequencing errors, attribution failures, governance breakdown.

A federal program that subsidizes faster adoption without addressing execution architecture will produce more failed AI projects, not more successful ones. Mid-market Canadian operators who chase the new incentive funding without first auditing their execution capacity will be the most exposed.

This is Strategic Planning failing at the national level. When the strategy targets adoption and the actual failure mode is execution, the strategy is solving the wrong problem at scale.

Going deeper on this in next week's LinkedIn Live — link in profile to register.

Doug Morneau | AI Execution Architect
https://aiautomationarchitect.com

This video is part of the AI Automation Architect Executive Briefing series. These briefings are designed for founders, CEOs, and senior operators evaluating AI investments who need clarity before tools, pilots, or spend. Vendor-neutral. Outcome-accountable. Diagnosis before deployment.

Source: Office of the Prime Minister, "Prime Minister Carney launches AI for All: Canada's new national artificial intelligence strategy" — June 4, 2026.

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